Rui Wang
ABSTRACT
The existing localization technology with single mode is limited in accuracy and robustness. To obtain higher accuracy, this paper proposes a novel indoor localization algorithm with WI-FI and Bluetooth. The approach is based on the Bayesian filtering and performs data-level fusion to get the final position estimate. In addition, idea of simulated annealing algorithm is learned into it that makes our algorithm can find the global optimal value in probability. Experimental results demonstrate that the proposed localization algorithm outperforms the single mode localization with accuracy and robustness.
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Index Terms
- Fusion of Wi-Fi and bluetooth for indoor localization
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